github-repo-analyzer

name	github-repo-analyzer
description	Analyze a GitHub repository to provide a concise, strategic summary of its purpose, features, activity, and status. Use when the user asks to "check this repo", "analyze this github project", or asks for the status/details of a GitHub link.

github-repo-analyzer

This skill generates a standardized, strategic summary of a GitHub repository. It fetches the repository's metadata (stars, last updated date, language, archived status) and parses its README to understand its core functionality and key features.

Triggers

Use this skill when the user provides a GitHub link or asks about a specific repository:

• "Check this repo: [Link]"
• "Analyze this repo: [Owner/Repo]"
• "What is the status of [Project] on GitHub?"
• "Summarize this github project."

Workflow

1. Fetch Repository Metadata: Use the GitHub API or a web fetch tool to retrieve the repository's basic stats:

   • Stargazers count
   • Last updated / pushed date
   • Main language
   • Archived status (True/False)

2. Analyze the README/Content: Fetch and read the repository's README file (or webpage) to understand what the project actually does, beyond just the short tagline. If the README is missing or very sparse: Fetch the repository's file tree and key configuration files (e.g., package.json, requirements.txt, docker-compose.yml, or main source files) to infer its primary purpose, dependencies, and core features.

3. Generate the Summary: Structure the response exactly as follows (always in English, unless the user explicitly asks for another language):

   📌 [Owner/Repo Name]

   • What it does: A clear, strategic summary of the project's purpose and core value proposition (1-2 sentences).
   • Key Features: A bulleted list of 2-3 standout features or capabilities extracted from the README.
   • Status: Active 🟢 / Archived 🔴 / Inactive 🟡 (based on recent commit activity and archived flag)
   • Stats: [X] ⭐ | Language: [Language] | Last Updated: [Date]

Examples

Example 1: Large, Complex Repository (e.g., AMAP-ML/SkillClaw)

User: "Analyze this repo: https://github.com/AMAP-ML/SkillClaw" Action:

1. Fetch API data: 751 stars, updated recently, Python, not archived.
2. Fetch README: Understand it's an Agentic Evolver for collective skill evolution across multiple agents.
3. Reply: 📌 AMAP-ML/SkillClaw

• What it does: SkillClaw is a framework that enables AI agents to continuously and collectively evolve their skills based on real session data. Instead of isolated libraries, it auto-deduplicates, improves, and shares skills across multiple agents and devices.
• Key Features:
  • Operates silently in the background via a local API proxy.
  • Supports an "Evolve Server" with shared storage (OSS/S3) for team-wide skill cross-pollination.
  • Includes a validation flow to stage and review AI-generated skills before publishing.
• Status: Active & Popular 🟢
• Stats: 751 ⭐ | Main Language: Python | Last Updated: April 19, 2026

Example 2: Small/Personal Repository (e.g., everyGal/agent_knowledgebase)

User: "Check everyGal/agent_knowledgebase" Action:

1. Fetch API data: 0 stars, updated recently, Python, not archived.
2. Fetch README: Understand it's a Claude Code plugin for structured, persistent memory.
3. Reply: 📌 everyGal/agent_knowledgebase

• What it does: A Claude Code plugin that provides an AI agent with a persistent, structured memory system by automatically compiling dropped files (PDFs, Markdown, Git repos) into a searchable wiki.
• Key Features:
  • Answers domain-specific questions by consulting the generated wiki first and citing sources.
  • Auto-manages categories like sources, entities, concepts, and comparisons.
  • Highly customizable via a wiki-schema.md file to define domain rules.
• Status: Active (New/Private) 🟢
• Stats: 0 ⭐ | Main Language: Python | Last Updated: April 17, 2026

Example 3: Archived/Abandoned Repository

User: "What's the deal with feder-cr/Jobs_Applier_AI_Agent_AIHawk?" Action:

1. Fetch API data: 29k+ stars, archived=true.
2. Fetch README: It was an automated job application tool.
3. Reply: 📌 feder-cr/Jobs_Applier_AI_Agent_AIHawk

• What it does: AIHawk was a massive automation tool designed to streamline the job hunting process by automatically tailoring resumes and applying for jobs on behalf of the user.
• Key Features:
  • Automated job applications across various platforms.
  • Tailored resumes to match specific job descriptions using AI.
• Status: Archived / Abandoned 🔴
• Stats: 29,686 ⭐ | Main Language: Python | Last Updated: [Date]